Accueil › Annuaire des chercheurs › Nabil Benamar
Nabil Benamar
Affiliation : Université Moulay Ismail de Meknes · Al Akhawayn University
- 97Publications (affiliation marocaine)
- 116Publications au total
- 2626Citations
- 23Indice h
Profil de recherche
Nabil Benamar compte 97 publications référencées (2002–2026). Ses travaux paraissent principalement dans « International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) », « IEEE Middle East and North Africa Communications Conference (MENACOMM) » et « International Wireless Communications and Mobile Computing Conference (IWCMC) ». Son article le plus cité, « A Comprehensive Survey on TinyML » (2023), a été cité 366 fois. 19 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de France.
C’est vous ? Faites connaître vos travaux
Créez gratuitement votre profil DzCademia et ajoutez vos articles : ils apparaîtront plus facilement sur Google et dans les assistants d’IA comme ChatGPT. Plus de personnes pourront vous lire et vous citer.
Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Mobile Ad Hoc Networks
- Vehicular Ad Hoc Networks (VANETs)
- Traffic control and management
- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
Publications (97)
- PSO-Enhanced Reinforcement Learning for Resource Allocation in LoRaWAN IoT Network Slicing
- A survey of blockchain-based solutions for secure social networks
- A Dual-Stage Metaheuristic-Adam Optimization Framework for Structural LSTM Pruning: Application to Solar Energy Forecasting
- Enhancing Autonomous Vehicle control in complex scenarios with Deep Transformer Reinforcement Learning
- Secure and efficient vehicle control of autonomous vehicles using federated deep reinforcement learning
- Survival Rate Prediction in glioblastoma Patients Using Machine learning
- Enhancing Glioblastoma Survival Forecasting via Ensemble Learning of Clinical and Genomic Features
- Toward Secure and Trustworthy Vehicular Fog Computing: A Survey
- Gas Leakage Detection Using Tiny Machine Learning
- Empowering Healthcare: TinyML for Precise Lung Disease Classification
- Enhancing Autonomous Driving Navigation Using Soft Actor-Critic
- A comprehensive survey on the use of deep learning techniques in glioblastoma
- Resource Allocation for LoRaWAN Network Slicing: Multi-Armed Bandit-based Approaches
- A reinforcement learning based autonomous vehicle control in diverse daytime and weather scenarios
- Improving Reinforcement Learning with Expert Demonstrations and Vision Transformers for Autonomous Vehicle Control
- TinyML4D: Scaling Embedded Machine Learning Education in the Developing World
- Evaluating the Efficiency of Fine-Tuned Machine Learning Models in Phishing URL Detection
- Integrating Hybrid Systems for Robust Anomaly Detection in Big Data
- Machine Learning and Omics Data for Predicting Overall Survival in Glioblastoma Patients
- A Comprehensive Survey on TinyML
- Smart Buildings: Water Leakage Detection Using TinyML
- Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation
- Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning
- A Reinforcement Learning Based Approach for Controlling Autonomous Vehicles in Complex Scenarios
- Heuristic-Deep Q-Network-Based Network Slicing in LoRaWAN
- Survival Rate Prediction in Glioblastoma Patients Using Machine Learning
- On the Management of Universities Exchange Programs: A Decision Aid Case Study
- A Comprehensive Survey on the Application of Deep and Reinforcement Learning Approaches in Autonomous Driving
- DQN-based Reinforcement Learning for Vehicle Control of Autonomous Vehicles Interacting With Pedestrians
- How TinyML Can be Leveraged to Solve Environmental Problems: A Survey
- Deep Learning-Based Modeling of Pedestrian Perception and Decision-Making in Refuge Island for Autonomous Driving
- A Novel Deep Learning-based Framework for Blackhole Attack Detection in Unsecured RPL Networks
- An Efficient Allocation System for Centralized Network Slicing in LoRaWan
- A comprehensive Survey on Blockchain-Based Solutions to Combat Covid-19 Pandemic
- Challenges and future directions for security and privacy in vehicular fog computing
- Deep Reinforcement Learning Modeling of a V2V Communication-Based Bike Avoidance Protocol for Increased Vehicular Flow
- Mobility-Aware RPL Network Assessment under a Blackhole Attack
- A Survey on the Current Security Landscape of Intelligent Transportation Systems
- A comprehensive survey on vehicular networks for smart roads: A focus on IP-based approaches
- Symmetry-Aware SFC Framework for 5G Networks
- Abnormal Network Traffic Detection using Deep Learning Models in IoT environment
- A Markov Decision Process Model for a Reinforcement Learning-based Autonomous Pedestrian Crossing Protocol
- IoT Nodes Behavior Analysis Under Constrained Environment Using RPL Protocol
- Correction to: Towards new e-Infrastructure and e-Services for Developing Countries
- Meta-Interpreting the Correlation Between the Grade Point Average and Employability:a case study
- Pedestrian Support in Intelligent Transportation Systems: Challenges, Solutions and Open issues
- Service Function Chaining in 5G & Beyond Networks: Challenges and Open Research Issues
- RPL rank attack detection using Deep Learning
- An Incentive Mechanism for Computing Resource Allocation in Vehicular Fog Computing Environment
- An evolutionary bargaining‐based approach for incentivized cooperation in opportunistic networks
- RPL Assessment using the Rank Attack in Static and Mobile Environments
- Smart Farming System Based on Fog Computing and LoRa Technology
- A comprehensive survey on enhancements and limitations of the RPL protocol: A focus on the objective function
- A Novel Approach for RPL Assessment Based on the Objective Function and Trickle Optimizations
- A new Security Mechanism for Vehicular Cloud Computing Using Fog Computing System
- A protocol for pedestrian crossing and increased vehicular flow in smart cities
- OF-ECF: A New Optimization of the Objective Function for Parent Selection in RPL
- Secure WiFi-Direct Using Key Exchange for IoT Device-to-Device Communications in a Smart Environment
- RPL Enhancement Based FL-Trickle: A Novel Flexible Trickle Algorithm for Low Power and Lossy Networks
- DBDA: Distant Bicycle Detection and Avoidance Protocol based on V2V Communication for Autonomous Vehicle-Bicycle Road Share
- An EEG Based Key Generation Cryptosystem using Diffie-Hellman And AES
- Effects of Selfishness on the Energy Consumption in Opportunistic Networks: A Performance Assessment
- Towards an Efficient Vehicular Clouds using Mobile Brokers
- A Framework for Enabling Internet Access Using Wi-Fi Peer-to-Peer Links
- Partially Symmetric Service Function Chains
- Towards Autonomous Farms Based on Fog Computing
- FL-Trickle: New Enhancement of Trickle Algorithm for Low Power and Lossy Networks
- DASH: A Distributed Approach for Selfishness Handling in a DTN
- VLAN-based Traffic Steering for Hierarchical Service Function Chaining
- OF-EC: A novel energy consumption aware objective function for RPL based on fuzzy logic.
- Traffic Steering for Service Function Chaining
- Autonomous Traffic Management: Open Issues and New Directions
- A Novel Compact Header for Traffic Steering in Service Function Chaining
- A Novel SDN-based Architecture and Traffic Steering Method for Service Function Chaining
- RPL-based networks in static and mobile environment: A performance assessment analysis
- RPL enhancement using a new objective function based on combined metrics
- A Comprehensive Study of Intelligent Transportation System Architectures for Road Congestion Avoidance
- A framework for hotspot support using Wi-Fi direct based device-to-device links
- Assessing Experimental Private Cloud Using Web of System Performance Model
- Design and Assessment of an Experimental SDN-Enabled Private Cloud using Openstack
- A New Data Forwarding Scheme for DTNs Based on Coalition Game
- Study of the Impact of Designed Objective Function on the RPL-Based Routing Protocol
- Mobility Support for the Routing Protocol in Low Power and Lossy Networks
- New Classification of Nodes Cooperation in Delay Tolerant Networks
- Enabling multilingual domain names: addressing the challenges of the Arabic script top-level domains
- Performance assessment of the routing protocol for low power and lossy networks
- The effect of cooperation of nodes on VDTN routing protocols
- Routing protocols in Vehicular Delay Tolerant Networks: A comprehensive survey
- Challenges of the Internet of Things: IPv6 and Network Management
- Study of VDTN routing protocols performances in sparse and dense traffic in the presence of relay nodes
- Routing protocols for DTN in vehicular environment
- Reducing dogleg routing in mobile IPv6 by the enhancement of home agents deployment
- Modulated photoacoustic spectroscopy study of an artificial tanning on human skin induced by dihydroxyacetone
- A new basic analysis of pulsed photoacoustic signal using the finite differences method
- Study of the diffusion of an emulsion in the human skin by pulsed photoacoustic spectroscopy: experiment and numerical simulation
- Study of the diffusion of some emulsions in the human skin by pulsed photoacoustic spectroscopy
- Analysis of pulsed photoacoustic signal: theoretical study of the diffusion of chromophores in the human skin
Revues de publication
- International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) × 14
- IEEE Middle East and North Africa Communications Conference (MENACOMM) × 7
- International Wireless Communications and Mobile Computing Conference (IWCMC) × 4
- IEEE Access × 3
- Future Internet × 3
- International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS) × 3
Publications par année
- 20263
- 20254
- 202412
- 20238
- 202210
- 20218
- 20207
- 201917
- 20185
- 20177
Collaborations
Établissements partenaires : Université Ibn-Tofail · Sidi Mohamed Ben Abdellah University · Abdelmalek Essaâdi University · Mohammed V University · Université Hassan II Mohammedia
Pays des co-auteurs : France
Co-auteurs
- Badr Ben Elallid
- Hanane Lamaazi
- Nabil Mrani
- Hajar Hantouti
- Sara El Hamdani
- Maria Benamar
- Ichraq El Hachimy
- Fouad Lahjomri
- Salaheddine Loudari
- Fatima Zahra Mardi
- Ossama Nazih
- El Houssine Chatri
Données bibliographiques issues d’OpenAlex (base ouverte).
Pourquoi choisir Dzcademia ?
Pour donner à vos travaux plus de chances d’être découverts et recommandés par les IA. Profils, articles et communications : donnez à votre recherche une présence publique structurée. Les métadonnées intégrées aident les moteurs de recherche et les assistants IA à identifier vos travaux et à comprendre leurs références.
Commenter avec Google
Connecte-toi avec Google pour commenter directement sur cette page.